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PostDoc/Senior Scientist - Process and Plant Design in the Field of Liquid Organic Hydrogen Carriers
languages (e.g., Python, Julia, Matlab) Strong interest in process modeling and simulation, including novel methods and approaches such as neural networks and nonlinear optimization Ability to analyze complex
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on advanced nonlinear optics and ultrafast laser techniques. The experimental work will be carried out on a table-top HHG beamline, producing XUV pulses with durations in the tens-of-femtoseconds range
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Operator Algebras, Nonlinear Functional Analysis, Topology and Geometry, algebra, etc. l applied mathematics, including Partial Differential Equations, Dynamical Systems, Combinatorics and Graph Theory
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and compare/interpret field data Collaborate with mechanical design and manufacturing teams to develop solutions that optimize performance while ensuring manufacturability Summarize key findings
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hybrid dynamical systems and control, optimization, and its application to cyber security. Familiarity with Lyapunov based analysis and control design tools is a must. This PhD position is part of a
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-network computing. The work includes modeling coupled nonlinear dynamical systems, developing learning and inference schemes for neuromorphic/reservoir and Ising-type computation, and benchmarking
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Special Instructions to Applicants To apply, the applicants should go to https://uta.peopleadmin.com/postings/32859 and submit the following materials: Required Documents: Curriculum Vitae Full CV and
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Title IX (OEO). More information, including the Director/Title IX Coordinator’s office address, electronic mail address, and telephone number, can be located at https://www.utah.edu/nondiscrimination